Skip to content
Contact us

Solutions

Data Analytics and Dashboard Solutions

We build analytics solutions and dashboards that turn scattered operational data into clear, trusted metrics, from management reporting to customer-facing analytics embedded in your product.

Book a Free Consultation
Explore Success Stories

Dashboards People Trust and Actually Use

Most organizations do not lack data; they lack numbers everyone agrees on. Sales, finance and operations each export from different systems, apply their own formulas and arrive at meetings with conflicting figures. Dashboards built quickly on top of raw tables tend to break when source systems change, load slowly and answer yesterday’s questions. The result is a reporting tool nobody fully trusts and analysts who spend most of their time reconciling instead of analyzing.

Hanoi Technology builds complete analytics solutions: data pipelines from your business systems, a modeled data layer with shared metric definitions, and dashboards in tools such as Power BI, Tableau, Looker or Metabase. We also build custom and embedded analytics for SaaS products and portals, where your customers need dashboards inside your application. Every solution is designed for accuracy, performance and easy maintenance.

The Challenge

Analytics Problems We Solve

Reporting problems usually start well before the dashboard.

Conflicting Numbers

Each department calculates revenue, margin or active customers differently. Meetings start with debates about which figure is right rather than what to do.

Manual Spreadsheet Reporting

Analysts download exports, paste them into spreadsheets and rebuild the same report every week. Errors creep in and reports arrive too late to act on.

Slow and Fragile Dashboards

Dashboards querying operational databases directly load slowly and break when a source changes. Users lose patience and fall back to asking analysts.

Dashboards Without Decisions

Pages full of charts that nobody acts on waste effort. Without clear owners, targets and thresholds, metrics become decoration.

Business Value

What a Well-Built Analytics Solution Delivers

One Version of the Truth

Metrics are defined once in a semantic layer and reused in every report. Teams discuss actions instead of definitions.

Automated, Timely Reporting

Pipelines refresh data on schedule or in near real time. Reports are ready when the working day starts.

Fast, Reliable Dashboards

Modeled data and optimized queries keep dashboards responsive. Changes in source systems are absorbed by the pipeline layer.

Insight for Every Role

Executives see trends and targets, managers see their team’s performance and staff see operational queues. Each view answers the questions that role actually asks.

Self-Service Exploration

Curated datasets let analysts and business users explore safely without writing complex SQL. Requests to the data team drop.

Analytics Inside Your Product

Embedded dashboards give your customers insight into their own data. Analytics becomes a feature that differentiates your product.

Start From Decisions, Not Data Sources

We begin every analytics project by asking which decisions the dashboard should support, who makes them and how often. Working backward from decisions to metrics to data keeps scope focused and ensures the finished dashboards change how the business operates.

Our Services

Hanoi Technology’s End-to-End Data Analytics and Dashboards Services

We deliver analytics solutions from metric design to embedded dashboards.

KPI and Metric Design

We work with leadership and teams to define KPIs, formulas, targets and owners, and document them in a shared metric catalog.

  • KPI framework
  • Metric definitions catalog
  • Dashboard wireframes

Data Pipelines and Warehousing

We extract data from ERP, CRM, ecommerce, finance and operational systems into a cloud warehouse such as Snowflake, BigQuery, Azure SQL or PostgreSQL, with scheduled and incremental loads.

  • Source connectors
  • Data warehouse
  • Pipeline monitoring

Data Modeling and Semantic Layer

We build dimensional models and a semantic layer with dbt and BI tool models, so every dashboard uses the same tested logic.

  • Dimensional data model
  • dbt project with tests
  • Semantic layer

BI Dashboard Development

We design and build dashboards in Power BI, Tableau, Looker or Metabase with clear layouts, drill-downs, row-level security and mobile views.

  • Executive and team dashboards
  • Row-level security
  • Usage monitoring

Embedded and Custom Analytics

We build analytics features inside SaaS products and portals using embedded BI or custom charts with libraries such as Apache ECharts, with multi-tenant data isolation.

  • Embedded analytics module
  • Multi-tenant security
  • Export and scheduling features

AI-Assisted Analytics

We add natural language querying, automated anomaly alerts and forecasts on top of governed data, with answers grounded in the semantic layer.

  • Natural language query assistant
  • Anomaly detection alerts
  • Forecast models

Our Approach

How We Deliver Analytics Solutions

We deliver value in small slices, starting with the most important decisions.

  1. 01

    Identify Decisions and Users

    We interview stakeholders to understand the decisions they make, the questions they ask and the reports they use today.

    Deliverables: Decision and question inventory · User roles

  2. 02

    Define Metrics and Data Sources

    KPIs are defined with owners, and the data sources required to calculate them are assessed for availability and quality.

    Deliverables: Metric catalog · Data source assessment

  3. 03

    Build Pipelines and Models

    We build the pipelines and data models for the first set of metrics, with tests that check for accuracy and completeness.

    Deliverables: Working pipelines · Tested data models

  4. 04

    Deliver and Validate Dashboards

    Dashboards are designed with users, validated against known figures and released with short training sessions.

    Deliverables: Validated dashboards · User training

  5. 05

    Expand and Maintain

    We track dashboard usage, add new metrics and sources and keep pipelines healthy through a dedicated team or managed service.

    Deliverables: Usage reports · Expansion backlog

Use Cases

Analytics Solutions We Build

Examples of analytics that change how teams make decisions.

Executive KPI Dashboard

Leadership sees revenue, margin, cash, pipeline and operational KPIs on one page with targets and trends. Weekly meetings start from shared numbers.

Sales Performance Analytics

Sales managers track pipeline, conversion and activity by rep and region. Forecast accuracy improves because data comes straight from the CRM.

Operations and Logistics Monitoring

Operations teams monitor orders, delivery times and exceptions in near real time. Bottlenecks are visible while there is still time to act.

Ecommerce and Marketing Analytics

Traffic, conversion, campaign and customer cohort data are combined to show which channels bring profitable customers. Budget moves to what works.

Customer-Facing SaaS Dashboards

A SaaS company embeds usage and outcome dashboards in its product. Customers see value clearly, which supports renewals.

Finance and Management Reporting

Monthly management accounts, budget versus actual and cost center reports are produced automatically from accounting and ERP data.

Technology

Analytics Technologies We Use

We choose tools that match your existing licenses, data volumes and skills.

  • Power BI
  • Tableau
  • Looker
  • Metabase
  • Apache Superset
  • Snowflake
  • Google BigQuery
  • Microsoft Fabric
  • PostgreSQL
  • dbt
  • Airbyte
  • Fivetran
  • Apache Airflow
  • Python
  • Apache ECharts
  • Databricks

Platforms

Deliver Data Analytics and Dashboards on Your Preferred Platform

Why Hanoi Technology

Why Organizations Choose Hanoi Technology

Senior, Cross-Functional Teams

Strategy, data, AI, cloud and engineering specialists work as one team, so nothing is lost between hand-offs.

Proven Delivery

More than 50 projects delivered for clients in North America, Europe and Asia-Pacific.

Radical Transparency

A written update every week and a demo of working software every sprint, so you always know where things stand.

Cost-Effective Global Delivery

Experienced engineers from our Hanoi delivery hub, with working-hour overlap for every major time zone.

−25%operational costs

Success Story · Logistics

Route optimization and fleet visibility for a regional logistics company

A regional delivery company handling thousands of shipments a day was planning routes and dispatching by hand. We built dynamic route optimization, a fleet dashboard and a driver app.

Read the Full Story

More Success Stories

E-commerce and retail

+32%conversion rate

Personalized shopping experience for a US fashion retailer

A fast-growing US fashion and lifestyle retailer had plenty of traffic but a 2.1% conversion rate. We combined a recommendation engine with a simpler path from discovery to checkout.

Explore All Success Stories

Resources

Featured Resources

Industry trends and practical guidance to help you get more value from data, AI and technology.

Get Numbers Your Whole Team Can Trust

Book a free consultation to discuss your reporting challenges, data sources and goals. We reply within 24 hours and can suggest a focused first dashboard to start with.

Book a Free Consultation

Data Analytics FAQ

Which BI tool should we use?

If you already use Microsoft 365, Power BI is often the most cost-effective choice. Tableau is strong for visual exploration, Looker suits organizations that want a centrally governed semantic model, and open-source tools such as Metabase or Superset fit smaller budgets or embedded use. We recommend based on your licenses, users, data platform and embedding needs, and we work with whichever tool fits.

Do we need a data warehouse for dashboards?

For anything beyond a few simple reports, yes. Querying operational databases directly slows both the dashboard and the source system, and makes it hard to combine data from several sources. A cloud warehouse with modeled data gives fast, consistent reporting. For smaller organizations, a managed PostgreSQL database can serve as a cost-effective starting point.

How long does it take to deliver a first dashboard?

A first dashboard on one or two well-understood sources can often be delivered within a few weeks, including pipelines, data model and validation. Programs covering many departments and sources are delivered in phases. Starting with one high-value area lets users see results early and helps us refine metric definitions before scaling.

How do you make sure the numbers are correct?

We define metrics with business owners, write automated tests for data completeness and logic, and validate dashboard figures against trusted reports or accounting totals before release. Pipelines alert the team when loads fail or data looks unusual. Discrepancies found by users are traced through documented lineage and fixed at the source of the problem.

Can you embed dashboards in our SaaS product?

Yes. We implement embedded analytics using BI tools that support embedding or build custom charts directly in your application. Each customer sees only their own data through row-level or tenant-level security. We also add features such as exports, scheduled reports and white-label styling so analytics feels like a native part of your product.

What does an analytics project cost?

Costs depend on the number of data sources, data quality, volume, number of dashboards and users, BI licensing and whether embedding is required. A focused first phase with a few sources and dashboards is relatively modest. We estimate after a short discovery and can continue as a dedicated team or managed service for new reports and pipeline maintenance.